Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1281394B12243593FEA8782D5FA252789F1C6A31BC6924D41BBF28767DF81DA8FC14060 |
|
CONTENT
ssdeep
|
768:lyu0eyu04079lECqFe6GE5ANPBW29MxsU6XPXTo9eW/SMJgr+HU/ExFJhNrzGNtw:eNe9N50BtQst6ZXFJksf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f846a7b710b0c26f |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
c462e1b8372b2aab |
|
VISUAL
wHash
|
00003048c3ffffff |
|
VISUAL
colorHash
|
33001010003 |
|
VISUAL
cropResistant
|
49002b2b3b2baba0,d4a06a65a0b83e37 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 97 techniques to evade detection by security scanners and make reverse engineering more difficult.